Researchers: Is this framework useful, or complete BS?[D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
Title: Researchers: Is this framework useful, or complete BS?
I'm working on a visual framework that tries to describe how research progresses from simply collecting information to producing genuinely original discoveries.
The image isn't intended to be a formal scientific model or a replacement for established research methodology. It's just an attempt to build an intuitive mental model that students and early-career researchers can use.
The basic progression is:
- Level 0: Raw copy-paste / plagiarism
- Level 1: Information compilation
- Level 2: Understanding & summarization
- Level 3: Comparison & evaluation
- Level 4: Interpretation & analysis
- Level 5: Applying knowledge to solve problems
- Level 6: Designing experiments that generate new evidence
- Level 7: Combining existing ideas in novel ways
- Level 8: Making an original contribution (new method, dataset, benchmark, algorithm, theory, etc.)
- Level 9: Breakthrough work that significantly changes a field
- Level 10: Paradigm-shifting discoveries that redefine how we understand a domain
Some examples I had in mind:
- Level 2: A literature review that accurately explains existing work.
- Level 4: An analysis explaining why Transformers scale better than earlier architectures.
- Level 5: Building and evaluating a better RAG pipeline for a real-world application.
- Level 6: Running controlled experiments to test whether a new training strategy improves performance.
- Level 7: Combining ideas from two different fields to create a new research direction.
- Level 8: Publishing a genuinely new architecture, benchmark, or algorithm.
- Level 9: Attention Is All You Need (Transformers) opening an entirely new direction for AI.
- Level 10: Think of discoveries on the scale of Einstein's relativity or Newton's mechanics—rare, civilization-level shifts.
I know this is subjective, which is exactly why I'm posting it here.
I'd really appreciate criticism from people who actually do research.
Some questions I'm hoping you can answer:
- Is this progression fundamentally reasonable, or is it misleading?
- Which levels don't make sense?
- Are there levels that should be merged or split?
- Am I confusing difficulty with originality?
- What dimensions are missing? (Novelty, rigor, reproducibility, significance, etc.)
- Is there an existing framework in academia that already captures this idea better?
- If you were mentoring a new PhD student, would you find something like this useful, or would you throw it away?
Please don't worry about being polite—I genuinely want to know whether this is a useful teaching tool or just academic nonsense.
If it's flawed, I'd much rather understand why than keep refining something built on a bad premise.
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